Data aggregation in Wireless Sensor Networks: Compressing or Forecasting?

Jin Cui 1, * Fabrice Valois 1, 2, *
* Corresponding author
1 URBANET - Réseaux capillaires urbains
CITI - CITI Centre of Innovation in Telecommunications and Integration of services, Inria Grenoble - Rhône-Alpes
Abstract : Data aggregation is a key problem in wireless sen- sor networks due to both energy-constrained and bandwidth- constrained. In this paper, we highlight the aggregation benefits in network layer and MAC layer by modeling the energy consumption for some energy-efficient routing protocols and MAC protocols. Besides, we define two parameters, aggregation ratio w and packet size coefficient λ, to evaluate the efficiency of an aggregation method, and we discuss their trade-off. Additionally, we propose comparison between A-ARMA and compressive sensing, which are on behalf of the state-of- the-art forecasting aggregation and compressing aggregation respectively.
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Jin Cui, Fabrice Valois. Data aggregation in Wireless Sensor Networks: Compressing or Forecasting?. WCNC - IEEE Wireless Communications and Networking Conference, Apr 2014, Istanbul, Turkey. ⟨hal-01003835⟩

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